Saddle point
Builds on Local maximum and minimumGradient
Summary
A saddle point of a differentiable function of several variables is a critical point that is not a local extremum. Near a saddle point, the function takes values both larger and smaller than its value at the point.
Reading path
To understand this page from the ground up, read these 9 pages in order. The foundations come first.
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- no evidence level
- Euclidean space object
- Function concept
- Total derivative concept
- Function of several variables concept
- Differentiable function of several variables concept
- Local maximum and minimum concept
- Partial derivative concept
- Gradient concept
- Saddle point concept
Where this leads
2 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Saddle_point, lead section
About this page
| Tag | 0JW6MDHAZD |
|---|---|
| URI | m2://0JW6MDHAZD |
| Aliases | minimax-point |
| Kind | concept |
| Writing | W1 stated |
| MSC | 26B05 |
| Specializes | Critical point |
| Uses | Local maximum and minimum, Gradient |
| Same as |
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What this page needs for W2
- edge instance_of in: at least two examples (0 of 2)
- edge not_instance_of in: at least one non-example (0 of 1)
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